
Tianqi Li - Senior Associate Data Sci & Adv Anlystics Manager
Senior Associate Data Sci. & Adv. Anlystic Manager · Optical imaging engineer for brain conditions and structure; explore deep learning applications for image segmentation and augmentation. ·...
- 职位: Senior Associate Data Sci. & …
- 位置: IQVIA
- 人脉数: 147
Tianqi Li – Robotic PhD @ TAMU
I’m a research scientist at Meta since 2024. My PhD is about multi-agent robotic system in CAST lab advised by Dr. Swaminathan Gopalswamy. My research interest is about agent interaction, robotic motion planning and sensor fusion. I’m on the job market currently with research & career interest includes: AI agent design, interaction.
Tianqi Li
Tianqi Li (pronunciation: [‘tɪ-entʃi: ‘li:]) is a sixth-year Ph.D. candidate from Department of Economics in University of North Carolina at Chapel Hill in the United States. His current research interests include high-dimensional econometrics, micro …
Tianqi Li - Google Scholar
Tianqi Li. University of North Carolina at Chapel Hill. Verified email at ad.unc.edu. Econometrics. Articles Cited by Public access. Title. Sort. ... J Cui, T Li, Z Wang. Journal of Regional Science 63 (3), 674-702, 2023. 16: 2023: A global wavelet based bootstrapped test of covariance stationarity.
Tianqi Li - Google Scholar
2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …
Tianqi Li | Economics Department
2024年11月14日 · Random-coefficient multinomial logit models are widely applied to study discrete choices in economics. By assuming random coefficients for each individual, the models can account for unobserved individual heterogeneity and suggest more realistic substitution patterns, compared to standard logit models.
CV - Tianqi Li
2024年11月5日 · Speaker, CES North America Virtual Conference. (August 2020) Visiting Student, IESR-HCEO Summer School and Best Paper Competition in Jinan University. (July 2019) Visiting Student, International Summer School in Shanghai University of Finance and Economics. (July 2018) Teamwork, COMAP’s Mathematical Contest in Modeling. (Jan 2018)
Tianqin Li - Google 学术搜索 - Google Scholar
Evaluating shape bias by distorted shape.
Random-coefficient multinomial logit models are widely applied to study discrete choices in eco-nomics. By assuming random coefficients for each individual, the models can account for unobserved individual heterogeneity and suggest more realistic substitution patterns, compared to standard logit models.
Tianqi Li | IEEE Xplore Author Details
Tianqi Li received the B.E. degree in mechanical engineering from Shanghai Jiao Tong University, Shanghai, China, in 2020. He is currently pursuing the Ph.D. degree in mechanical engineering with the State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China.
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